Research on High-Precision Acoustic Positioning Algorithm for Small-Scale Confined Underwater Space

In this paper, a underwater acoustic high-precision positioning system is investigated for the accurate positioning of the UUV in small confined space. The least squares Newton (LSN) algorithm based on Modified Chirp-z Transform (MCZT) with generalised quadratic correlation delay estimation is designed. The algorithm is modelled on an eight element cubic array. The MCZT algorithm produces the correlation function with more sharp peaks and higher peaks, resulting in more accurate delay estimates. The LSN algorithm performs a more accurate time-delay localization. Positioning simulations at different SNR and different locations are performed and experimental verification is conducted in the anechoic pool. Simulation results show that the LSN algorithm can achieve high accuracy positioning. Experimental results show that the UUV positioning error is controlled within 20mm, achieving high-precision positioning requirements.

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Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/icspcc62635.2024.10770509
Citations
1
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.34
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Research on High-Precision Acoustic Positioning Algorithm for Small-Scale Confined Underwater Space

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article

Research on High-Precision Acoustic Positioning Algorithm for Small-Scale Confined Underwater Space

J. B. Wang, Yunfeng Bai, Linwei Tao, Aiping Huang, Kaidi Xu
article en
1 citations

Abstract

In this paper, a underwater acoustic high-precision positioning system is investigated for the accurate positioning of the UUV in small confined space. The least squares Newton (LSN) algorithm based on Modified Chirp-z Transform (MCZT) with generalised quadratic correlation delay estimation is designed. The algorithm is modelled on an eight element cubic array. The MCZT algorithm produces the correlation function with more sharp peaks and higher peaks, resulting in more accurate delay estimates. The LSN algorithm performs a more accurate time-delay localization. Positioning simulations at different SNR and different locations are performed and experimental verification is conducted in the anechoic pool. Simulation results show that the LSN algorithm can achieve high accuracy positioning. Experimental results show that the UUV positioning error is controlled within 20mm, achieving high-precision positioning requirements.

Northwestern Polytechnical University (CN)
Openalex Percentile: Top 37%
Underwater Vehicles and Communication Systems
0.34
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